Structure–texture image decomposition using a new non‐local TV‐Hilbert model

Structure–texture image decomposition using a new non‐local TV‐Hilbert model

Combining the advantages of the non‐local total variation (TV) and the Gabor function, a new Gabor function based non‐local TV‐Hilbert model is presented to separate the structure and texture components of the image. Computationally, by introducing the dual form of the non‐local TV, the authors refo...

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Bibliographic Details
Main Author: Yehu Lv
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:IET Image Processing
Subjects:
proximal‐based primal–dual algorithm
Chambolle–Pock's first‐order primal–dual algorithm
convex–concave saddle‐point problem
nonlocal TV‐Hilbert minimisation problem
texture components
Gabor function
Online Access:https://doi.org/10.1049/iet-ipr.2019.0392

Internet

https://doi.org/10.1049/iet-ipr.2019.0392

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